Migrate to Jupyter fork with AI features#76
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Co-authored-by: Ramon Garate <[email protected]>
…to fix-error-with-ai
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Our goal with Pretzel AI is to make the best tool for all data use-cases. This means many things: a great visual/AI enabled data exploration, a great SQL IDE, a great collaborative data workspace, an visually amazing dashboard and many more things.
We needed some place to start. We tried to make a visual and AI enabled data exploration tool that runs completely in the browser. We soon realized the challenge with this - it's very hard to get data professionals to switch with this approach. Why does that matter? In our opinion, to create change in an established space, you need to convert people who are the most passionate first. These users drive the change.
For us, that means targeting data scientists, analysts, research, ML engineers and people who work with data every single day and find their existing tools lacking. This means focusing on improving the tool that these power users use - Jupyter.
We could've made a new notebook tool from the ground up but we decided not to - switching costs are a thing and we want to make it extremely easy to switch. So, we chose to fork Jupyter and add features to it.
I'll cover more details in a blogpost at some point on each of these points but for now, here's the PR that merges our first major change - adding native AI code gen features in Jupyter